Audit the signals answer engines can crawl, parse, and cite.

Create a concise llms.txt draft that points AI systems toward your most useful public resources without implying guaranteed visibility.

Check whether /llms.txt is fetchable, text-based, structured clearly, and free from common formatting issues.

Inspect robots.txt and summarize whether major AI-related crawlers appear allowed, blocked, or unspecified.

Extract homepage metadata and JSON-LD so you can see whether answer engines can understand entity, product, organization, and article signals.

Generate a score and concrete recommendations across robots.txt, llms.txt, metadata, schema, canonicals, and extractable page content.